Perfecting Transcription Tasks and UI Updates in Glowing Telegram | Livestream 14 | Part 1 of 3
2Welcome to Part 1 of Livestream 14, where we continue our journey in developing the 'glowing-telegram' project, a comprehensive tool designed to manage and process stream recordings efficiently. This session dives into the intricate details of enhancing our project, focusing on a variety of features that streamline our workflow and automate tasks that were once time-consuming.
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In this episode, I delve deeper into the functionality of our project, addressing the never-ending list of to-dos and focusing on new features like the scan button for queuing up transcriptions and a component for checking task status. We explore the nuances of Rust programming and its application in building a robust architecture for glowing-telegram, which includes a React app interface, PostgreSQL database, and several microservices.
The session is filled with practical coding examples, live troubleshooting, and implementation of advanced features. Whether you are a software developer, a Rust enthusiast, or simply interested in stream management technologies, this video offers an in-depth look into building a complex tool from scratch.
Don't miss the chance to join me live on Twitch as I develop this tool to sharpen my Rust skills and create a solution that automates video processing tasks, saving time and enhancing productivity. Your participation and feedback are invaluable, so feel free to comment, share, and subscribe for more updates on this exciting project.
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